
Similarweb uses LangSmith to evaluate long-form agent research reports, combining deterministic checks for tool usage and structure with LLM-as-a-judge scoring for meaning and quality. The evaluation process links results to traces and A/B comparisons, allowing detailed inspection of updates. Calibrated rubrics ensure accurate assessment, with scores and comments guiding further analysis of each change. The workflow emphasizes inspectability and repeatability, using feedback and traces to validate updates based on evidence rather than just appearance.
Managed Deep Agents gives developers a managed way to build, run, and deploy Deep Agents with built-in runtime, streaming, sandboxes, evals, memory, and auth.

LangSmith Bring Your Own Cloud is now generally available on AWS, giving Enterprise teams managed observability, evaluation, and deployment inside their own VPC.

Learn what AI agents are, how they work in an LLM loop, and where workflows fit so you can build reliable, production-ready autonomous systems.
